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Ai Lab Jobs in Texas (NOW HIRING)

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

Engineering Lab Manager

Austin, TX · On-site

$68 - $114/hr

As an Engineering Lab Manager, you will be instrumental in creating and maintaining an environment that empowers our engineering and manufacturing teams to innovate and deliver groundbreaking medical ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.

Showing results 41-60

Ai Lab information

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

What are the key skills and qualifications needed to thrive in an AI Lab, and why are they important?

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

How do I get into an AI lab?

To join an AI lab, candidates typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a relevant degree or research experience. Gaining skills in programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and participating in research projects or internships can improve chances. Networking with professionals and publishing work can also help in securing a position in an AI lab.

What is the easiest AI Lab job to get into?

Entry-level roles in AI labs such as data annotation, data labeling, or research assistant positions are generally the easiest to obtain. These jobs often require basic technical skills, familiarity with AI concepts, and sometimes a relevant degree or certification, making them accessible for newcomers to the field.

What job categories do people searching Ai Lab jobs in Texas look for?

The top searched job categories for Ai Lab jobs in Texas are:

What cities in Texas are hiring for Ai Lab jobs?

Cities in Texas with the most Ai Lab job openings:

Infographic showing various Ai Lab job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Payroll Operations Manager

Cognition

Austin, TX • On-site

Full-time

Retirement

Posted 16 days ago


Job description

We are an applied AI lab building end-to-end software agents.
We're the makers of Devin, the first AI software engineer.
Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us.
About the role
We're looking for a Payroll Operations Manager to own and scale our global payroll function while helping build the operational foundation that supports our next stage of growth.
You'll be responsible for ensuring employees, contractors, and commission recipients are paid accurately, compliantly, and on time across the countries in which we operate . You'll oversee payroll operations end-to-end, including domestic and international payroll tax compliance and tax withholding for cash and equity compensation, manage key workforce-related programs such as 401(k) administration, and partner closely with Finance, Accounting, People Operations, Tax, and Legal to build processes that scale.
In this role you will:
  • Own global payroll end-to-end. Run payroll across the U.S. and international jurisdictions for employees, contractors, and commission recipients-accurate, compliant, and on time, every cycle.
  • Build for scale. Design and improve the systems, automation, controls, and documentation that let payroll handle 2x, 5x, 10x the volume without proportional effort.
  • Manage vendors and partners. Own relationships with payroll providers, EORs, and benefits administrators, holding them to a high bar on accuracy, compliance, and service.
  • Own payroll tax compliance. Coordinate domestic and international payroll tax registrations, withholding, deposits, filings, reconciliations, and tax notice resolution; partner with providers and advisors on local requirements and cross-border employee scenarios.
  • Manage complex and variable compensation. Ensure the accurate payroll treatment of commissions, bonuses, taxable benefits, relocation payments, and other cash and non-cash compensation.
  • Administer key programs. Run 401(k) contributions, payroll deductions, contractor payments, garnishments, benefits inputs , and other payments where administered through payroll systems.
  • Partner cross-functionally. Work closely with Finance, Accounting, People Ops, Tax, and Legal to keep data clean, stay compliant, and give employees a seamless experience.

Requirements for the role:
  • 5+ years in payroll, accounting operations, or finance operations, including ownership of complex payroll in a high-growth environment.
  • Deep domestic and international payroll experience, with meaningful exposure to international payroll, EORs, global payroll providers, and cross-border employee matters.
  • Strong command of US payroll tax compliance, including federal, state, and local withholding, deposits, filings, reconciliations, tax notices, and quarter- and year-end reporting.
  • International payroll tax knowledge. Working knowledge of international payroll tax and withholding concepts, with the judgment to identify issues and coordinate with local payroll providers, Tax, Legal, and external advisors.
  • Fluency with enterprise payroll platforms (ADP, Workday, Rippling, or similar), including configuration, process improvement, and vendor management.
  • Based in San Francisco and willing to work from the office 5 days per week.
Equal Opportunity
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.